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Evidence on market structure of the deregulated US airline industry

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  • Zinan Liu
  • E. L. Lynk

Abstract

Airline deregulation in the USA was a rejection of inefficient regulation and inspired by the perspective of both potential and actual competition in the industry. Using multivariate regression and efficiency frontier techniques, the emergent structure of unregulated airline markets is assessed. Our findings, based on panel data for major US airlines during the period 1984-1991, indicate that (1) as a result of successful efforts by airlines to reduce the scope for competition, aviation technology now exhibits increasing rather than constant returns to network size as predicted by cost studies prior to deregulation; (2) deregulation failed to produce evidence of efficiency convergence among carriers as would be expected under sufficiently competitive conditions.

Suggested Citation

  • Zinan Liu & E. L. Lynk, 1999. "Evidence on market structure of the deregulated US airline industry," Applied Economics, Taylor & Francis Journals, vol. 31(9), pages 1083-1092.
    • Handle: RePEc:taf:applec:v:31:y:1999:i:9:p:1083-1092
    DOI: 10.1080/000368499323562
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    References listed on IDEAS

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    1. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
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    1. Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
    2. Gudmundsson, Sveinn Vidar & Merkert, Rico & Redondi, Renato, 2017. "Cost functions and determinants of unit cost effects in horizontal airline M&As," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 444-454.
    3. Barros, Carlos P. & Liang, Qi Bin & Peypoch, Nicolas, 2013. "The technical efficiency of US Airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 139-148.
    4. Carl Mela & Praveen Kopalle, 2002. "The impact of collinearity on regression analysis: the asymmetric effect of negative and positive correlations," Applied Economics, Taylor & Francis Journals, vol. 34(6), pages 667-677.
    5. Barros, Carlos Pestana & Wanke, Peter, 2015. "An analysis of African airlines efficiency with two-stage TOPSIS and neural networks," Journal of Air Transport Management, Elsevier, vol. 44, pages 90-102.
    6. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    7. Jara-Díaz, Sergio R. & Cortés, Cristián E. & Morales, Gabriela A., 2013. "Explaining changes and trends in the airline industry: Economies of density, multiproduct scale, and spatial scope," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 13-26.
    8. Zou, Bo & Elke, Matthew & Hansen, Mark & Kafle, Nabin, 2014. "Evaluating air carrier fuel efficiency in the US airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 306-330.
    9. Lee, Boon L. & Worthington, Andrew C., 2014. "Technical efficiency of mainstream airlines and low-cost carriers: New evidence using bootstrap data envelopment analysis truncated regression," Journal of Air Transport Management, Elsevier, vol. 38(C), pages 15-20.
    10. Leonardo Basso & Sergio Jara-Díaz, 2006. "Distinguishing Multiproduct Economies of Scale from Economies of Density on a Fixed-Size Transport Network," Networks and Spatial Economics, Springer, vol. 6(2), pages 149-162, June.
    11. Gelb, David S. & Henry, Theresa F. & Holtzman, Mark P., 2008. "Deregulation and voluntary disclosure by the airlines: A case study," Research in Accounting Regulation, Elsevier, vol. 20(C), pages 89-102.
    12. Barros, Carlos Pestana & Peypoch, Nicolas, 2009. "An evaluation of European airlines' operational performance," International Journal of Production Economics, Elsevier, vol. 122(2), pages 525-533, December.
    13. Zuidberg, Joost, 2014. "Identifying airline cost economies: An econometric analysis of the factors affecting aircraft operating costs," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 86-95.
    14. Leonardo J. Basso & Sergio R. Jara-Díaz, 2006. "Are Returns to Scale with Variable Network Size Adequate for Transport Industry Structure Analysis?," Transportation Science, INFORMS, vol. 40(3), pages 259-268, August.
    15. Wanke, Peter & Pestana Barros, Carlos & Chen, Zhongfei, 2015. "An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models," International Journal of Production Economics, Elsevier, vol. 169(C), pages 110-126.

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